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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
AI-based Aquatic Air Bubble Detection with Ultrasonic Imaging
About this project
This neural network model with the Ridge classifier identifies toxic underwater air bubbles via aquatic ultrasonic scans (nondestructive inspection):
- bubble
- normal
After building my neural network model with the Ridge classifier, I deployed my advanced model as a fully optimized and customizable Arduino library and uploaded it to Nano ESP32. Also, I developed a web application from scratch to save the produced ultrasonic scan data buffers as samples and generate a pre-formatted CSV file as my data set.
Run this model
On any device
Dataset summary
Data collected
1m 0sSensors
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bubble, normalProject info
| Project ID | 366673 |
| Project version | 1 |
| License | Apache 2.0 |
| No. of views | 10,091 |
| No. of clones | 4 |
